Vizlib Control Chart Overview
A control chart is a graph used in statistical process control (SPC) that enables users to monitor process changes over time to determine if the process is stable or in control. It helps distinguish between common cause variations (natural process variability) and special cause variations (unusual events requiring investigation).
Vizlib Control Chart Elements
The chart features the following elements:
- The average (Avg)- the center line in the Control Chart.
- Upper control limit (UCL) - calculated as Avg (x) + 3 * StDev (x) where StDev is a standard deviation.
- Lower control limit (LCL) - calculated as Avg (x) - 3 * StDev (x).
The UCL and LCL lines help determine process stability, identify trends, and signal when a process requires corrective action.
Figure 1: Control Chart with the average line (middle line - green), UCL and LCL (top and bottom lines - red)
Related Articles
To create, configure, and use Vizlib Control Chart, refer to the related articles: